- Workplace
- Onsite
- Type
- Contract
- Department
- Engineering
- Experience
- 5+ years
- Source
- Freshteam
Description
Job Summary
We are seeking an experienced AI/ML Engineer to design and implement intelligent automation solutions using Computer Vision, OCR, Deep Learning, and Vision-Language Models (VLMs). The role involves building proof-of-concepts (PoCs) and scalable AI platforms on AWS, focusing on automation use cases such as waste overflow detection, contamination classification, and contract data extraction. The ideal candidate will combine strong technical expertise with business alignment to deliver measurable process improvements and operational efficiency.
We are seeking an experienced AI/ML Engineer to design and implement intelligent automation solutions using Computer Vision, OCR, Deep Learning, and Vision-Language Models (VLMs). The role involves building proof-of-concepts (PoCs) and scalable AI platforms on AWS, focusing on automation use cases such as waste overflow detection, contamination classification, and contract data extraction. The ideal candidate will combine strong technical expertise with business alignment to deliver measurable process improvements and operational efficiency.
Must-Have Skills (Mandatory)
- 5+ years of hands-on experience in AI/ML engineering, specializing in Computer Vision, OCR, and Deep Learning.
- Strong understanding of CNN architectures such as ResNet, EfficientNet, YOLO, Mask R-CNN, and Vision-Language Models (LLaVA, GPT-4V, etc.).
- Expertise in OCR frameworks – AWS Textract, Azure Form Recognizer, Google Document AI, or Mistral OCR.
- Proficiency in Python and ML frameworks such as PyTorch or TensorFlow.
- Experience in developing AI services using FastAPI or Flask.
- Strong knowledge and hands-on experience with AWS cloud services – S3, Lambda, SageMaker, Step Functions, EC2, Docker, SQS, SNS, and CloudWatch.
- Solid understanding of AI evaluation metrics (precision, recall, F1 score, OCR accuracy) for classification and detection models.
- Excellent analytical, debugging, and problem-solving skills.
Good-to-Have Skills (Optional)
- Exposure to Azure AI or Google Cloud AI services.
- Experience in developing Cordial AI or Domain-Specific AI models.
- Familiarity with CI/CD pipelines and Jenkins for automated deployments.
- Experience integrating AI models with business workflows for real-time analytics.
- Knowledge of data annotation tools, model interpretability, or model optimization techniques.
Qualifications & Experience
- Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or related fields.
- 6 to 9 years of total experience with at least 5 years in AI/ML solution development.
- Proven track record of delivering PoCs and production-grade AI solutions aligned with client objectives.
- Strong communication and stakeholder management skills.
Skills
PythonFlaskFastAPIAWSAzureDockerJenkinsCI/CDDeep LearningComputer VisionTensorFlowPyTorch